Siamese Networks. Siamese network is a kind of network that contains more than one identical weight-sharing sub-networks, which can naturally introduce inductive biases for invariance modeling [1]}. It has wide applications including video super-resolution [2]}, medical object detection [3]}, visual tracking [4]}, etc. Inspired by its success in various visual tasks, researchers have successfully introduced siamese networks into the field of graph learning [5]}, [6]}. However, it has not been extended to handle incomplete or missing graphs.
